Genome-wide screens identify calcium signaling as a key regulator of IgE <sup>+</sup> plasma cell differentiation and survival
Bibliographic record
Abstract
Summary IgE antibodies protect against toxins and parasites, however, they also mediate allergic reactions. In contrast to other antibody isotypes, B cells switched to IgE respond transiently and do not give rise to long-lived plasma cells (PCs) or memory B cells. Although the intrinsic differences of IgE + B cells have been linked to signaling by the IgE-B cell receptor (BCR), the molecular pathways controlling their behavior remain poorly understood. Here we employ whole-genome CRISPR screening to identify genes regulating IgE + B cell proliferation, survival and differentiation into PCs. We show that IgE + B cells are selectively suppressed by the IgE-BCR signaling to intracellular calcium, which inhibits PC differentiation and limits their lifespan after differentiation. Consequently, manipulation of calcium signaling in vivo enhances IgE + PC responses. Insights from this pathway shed new light on the self-limiting character of IgE responses and open new avenues to eliminate IgE + PCs in allergy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".